Research Engineer - Post Training
About Turing
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.
Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com
Location: SF or Palo Alto
Team: R&D – Post Training
About the Role
The post-training team at Turing transforms powerful pre-trained models to become steerable, versatile, and capable of understanding and addressing real-world challenges.
As a post-training engineer, you will enhance the model's reasoning and coding ability to fulfill our mission – developing AI systems that can accurately understand the universe and generate novel insights.
What You’ll Work On
- Define and execute strategies to advance model quality, reasoning, and coding capabilities.
- Improving data mixtures by building data collection pipelines and developing data generation techniques to create high-quality, diverse training mixtures.
- Creating generalizable reward models and reinforcement learning algorithms.
- Designing and implementing robust and scalable model evaluations.
- Designing and implementing large-scale model training frameworks.
- Collaborating with reasoning, data, multimodal, applied, product efforts to integrate cutting-edge research into tangible model advancements.
What We’re Looking For
- Deep expertise in ML and fine-tuning small or large language models.
- A proven track record in leading or contributing to research that has meaningfully advanced the field of AI.
- Hands-on experience improving LLM behavior through data-driven methods and advanced reinforcement learning techniques.
- Experience in developing benchmarks.
- Familiarity with optimizing models for complex challenges, such as multi-modality, long-context reasoning, or multi-agent systems.
- Optional: Experience building infra for large-scale reinforcement learning
Salary range: 170k–215k
Values:
- We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
- We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
- We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing:
- Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
- Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
- Competitive compensation
- Flexible working hours
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing's GDPR notice here.
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